How To Fix /PLMI/BO_RCA_OPT023 - Optimization is infeasible; check and change optimization constraints

SAP Error Message - Details

• Message type: E = Error

• Message class: /PLMI/BO_RCA_OPT -

• Message number: 023

• Message text: Optimization is infeasible; check and change optimization constraints

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /PLMI/BO_RCA_OPT023 - Optimization is infeasible; check and change optimization constraints ?

  The SAP error message /PLMI/BO_RCA_OPT023 Optimization is infeasible; check and change optimization constraints typically occurs in the context of SAP's Advanced Planning and Optimization (APO) or similar modules where optimization problems are being solved. This error indicates that the optimization algorithm could not find a feasible solution given the constraints defined in the model.
  Causes:
  
  
  Infeasible Constraints: The constraints set for the optimization problem may be too strict or contradictory, making it impossible for the algorithm to find a solution. This can include:
  
  Capacity constraints that are too low.
  Demand constraints that exceed available supply.
  Time constraints that do not allow for feasible scheduling.
  
  
  
  Data Issues: Incorrect or inconsistent data can lead to infeasibility. This might include:
  
  Incorrectly defined product availability.
  Errors in master data (e.g., BOMs, routing).
  Incorrectly set planning parameters.
  
  
  
  Modeling Errors: The way the optimization model is set up may not accurately reflect the real-world scenario, leading to infeasibility.
  
  
  Resource Limitations: If the resources (e.g., machines, labor) are over-allocated or not available as expected, it can lead to infeasibility.
  
  
  Solutions:
  
  
  Review Constraints: Check the constraints defined in the optimization model. Ensure that they are realistic and do not contradict each other. Adjust them as necessary.
  
  
  Data Validation: Validate the data used in the optimization process. Ensure that all master data, such as product availability, BOMs, and routing, are accurate and up to date.
  
  
  Relax Constraints: If possible, consider relaxing some of the constraints to allow for a feasible solution. This could involve increasing capacity limits or adjusting demand forecasts.
  
  
  Run Diagnostics: Use diagnostic tools available in SAP to analyze the optimization problem. This may help identify which specific constraints are causing the infeasibility.
  
  
  Consult Documentation: Refer to SAP documentation or help resources for guidance on setting up optimization models and constraints correctly.
  
  
  Engage with Experts: If the issue persists, consider consulting with SAP experts or your internal SAP support team for deeper analysis and troubleshooting.
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that might address known issues or provide patches related to optimization problems.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed.
  Training and Documentation: Review training materials or documentation related to SAP APO or the specific module you are using to ensure best practices are being followed in setting up optimization scenarios.
  
  By systematically addressing the potential causes and applying the suggested solutions, you should be able to resolve the optimization infeasibility error in SAP.